4.3 Convergence

Let’s go through a few more proofs involving convergence (refer back to the definition at needed). For example, you might find the “there exists a real number xx” clause in the definition of convergence unsatisfying, as it leaves open the possibility that many such numbers exist and a sequence might converge to lots of different things. However, this is in fact not possible.

Theorem. If xnax_n \to a and xnbx_n \to b, then a=b.

Proof. Let ϵ>0\epsilon> 0.

Na:n>Na    xna<ϵ2xnaNb:n>Nb    xnb<ϵ2xnb\begin{alignat*}{2} \exists N_a: n > N_a &\implies \lvert x_n - a\rvert < \tfrac{\epsilon}{2} &\hspace{4em}& x_n \to a \\ \exists N_b: n > N_b &\implies \lvert x_n - b\rvert < \tfrac{\epsilon}{2} && x_n \to b \end{alignat*} Thus, for all n>N=max(Na,Nb)n > N = \max(N_a, N_b), we have ab=axn+xnbxna+xnbTriangle inequality<ϵ\begin{alignat*}{2} \lvert a - b\rvert &= \lvert a - x_n + x_n - b\rvert \\ &\le \lvert x_n - a\rvert + \lvert x_n - b\rvert &\hspace{4em}& \text{Triangle inequality} \\ &< \epsilon \end{alignat*}

a=b\therefore a=b

In the above proof, the symbol     \implies means “implies” and the symbol \therefore means “therefore” (writing out the words is fine too, I’m just introducing the symbols because I occasionally use them in class). This proof introduces a standard technique that comes up often: since xnax_n \to a, I can get xnx_n as close to aa as I want. I could find an nn such that xna<ϵ\lvert x_n-a\rvert < \epsilon, but why stop there? I can keep going and get xna<ϵ/2\lvert x_n-a\rvert < \epsilon/2, which ends up making the rest of the proof more clear. I could keep going even further and get xna<ϵ/1000000\lvert x_n-a\rvert < \epsilon/1000000 if I wanted, but this isn’t necessary for what I’m trying to show.

Summarizing the above proof, if xnax_n \to a and xnbx_n \to b, then for any positive number ϵ\epsilon, it must be the case that ab<ϵ\lvert a-b\rvert < \epsilon. In other words, they have to be equal (ab=0a-b=0). Here, the triangle inequality states that

x+yx+y.\lvert x+y\rvert \le \lvert x\rvert + \lvert y\rvert.

Applied to line three, this gives

axn+xnbaxn+xnbab<ϵ2+ϵ2.\begin{align*} \lvert a - x_n + x_n - b\rvert &\le \lvert a-x_n\rvert + \lvert x_n-b\rvert \\ \lvert a-b\rvert &< \tfrac{\epsilon}{2} + \tfrac{\epsilon}{2}. \end{align*}

Hopefully the logic here is clear and all the steps of the proof make sense (if not, feel free to come by my office). You may very well be thinking “I understand the proof, but I could never come up with that!” This is normal; don’t worry about it. Any technique that you’ve never seen before is going to seem incredible and clever, but the more exposure to proofs you have, the more you will recognize all of the above steps as fairly standard and you will definitely be able to recognize when you need them in the future.

Theorem. If xnxx_n \to x, then the sequence xnx_n is bounded.

Proof. N:n>N    xnx<1xnxr=max{1,x1x,,xNx}Maximum of finite set exists\begin{alignat*}{2} &\exists N: n > N \implies \lvert x_n - x\rvert < 1 &\hspace{4em}& x_n \to x \\ &\exists r = \max\{1, \lvert x_1 - x\rvert, \ldots, \lvert x_N - x\rvert\} && \text{Maximum of finite set exists}\\ \end{alignat*} Therefore, {xn}n=1\{x_n\}_{n=1}^\infty is bounded (above by x+rx+r, below by xrx-r).

This is a fairly simple proof, but it illustrates a few important points. First, the choice of “1” in the first line is completely arbitrary; I could have chosen any number. Second, and more importantly, the heart of this proof is the second line, where we establish that there is a number rr that bounds xnx\lvert x_n-x\rvert and therefore also bounds xnx_n. However, it is important to recognize that this is a claim (of existence), and it requires a justification. It is very easy in an unstructured proof to just say “let rr by the maximum of {1,x1x,,xNx}\{1, \lvert x_1 - x\rvert, \ldots, \lvert x_N - x\rvert\}”. But how do you know that this maximum exists? If the set were infinite, we wouldn’t know this. For example, we saw earlier that en0e^{-n} \to 0, so by our proof, e1,e2,e^{-1}, e^{-2}, \ldots is bounded. However, consider the set {,e(2),e(1),e0,e1,e2,}\{\ldots, e^{-(-2)}, e^{-(-1)}, e^{-0}, e^{-1}, e^{-2}, \ldots\}. This sequence converges as nn \to \infty, but because there is an infinite collection of numbers leading up to xNx_N, our proof above doesn’t work – we don’t know that this set has a maximum (and indeed, it doesn’t have a maximum, and the set isn’t bounded).

This is a common way in which it is easy to skip steps in an unstructured proof. Of course, one could still write “Let r=max{1,x1x,,xNx}r =\max \{1, \lvert x_1 - x\rvert, \ldots, \lvert x_N - x\rvert\}” in a structured proof, but it would be immediately clear that the right hand column is empty and that this statement has not been justified. Now, sometimes it’s fine to say “let” without a justification: writing “Let ϵ>0\epsilon> 0” and justifying it with “positive numbers exist” is pedantic. Going back to an earlier proof, one could argue that letting N=logϵN = \lceil -\log \epsilon\rceil should be justified in the sense that this only exists if ϵ>0\epsilon> 0 (which it is), and furthermore we should be more careful in the definition: N=max{1,logϵ}N = \max\{1, \lceil -\log \epsilon\rceil\} is more technically sound (if ϵ\epsilon is very large, NN could be negative according to our original definition). It never hurts to think about these things, but at the same time, it’s something of a judgment call and I felt that going into these justifications was a distraction from the main idea. On the other hand, the “maximum of a finite set” justification is quite important because it’s really the main idea of the proof.

Now would be a good time to try proving things on your own. Here are three theorems to start with.

Theorem. Suppose xnxx_n \to x and ynyy_n \to y. Then xn+ynx+yx_n + y_n \to x + y.

Theorem. Suppose xnxx_n \to x and ynyy_n \to y. Then xnynxyx_n y_n \to xy.

Theorem. Suppose xnxx_n \to x, with xn0x_n \ne 0 for all nn and x0x \ne 0. Then 1/xn1/x1/x_n \to 1/x.

For the third theorem, is xn0x_n \ne 0 actually required? If we know that x0x \ne 0, can we still have xn=0x_n = 0?

See here for solutions, although you should definitely try proving them on your own first before looking at the solutions.